Search Results for "foo_out_wasapi.fb2k-component"
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Showing 5 open source projects for "foo_out_wasapi.fb2k-component"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
...Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling component, and the reinforcement learning (or preference-based fine-tuning) phase. The repo also includes utilities for dataset handling, modeling architectures, inference, and evaluation. Because the codebase is experimental, parts of it may not run out-of-box depending on dependencies or environment, but it remains a canonical reference for how to implement summarization via human feedback. -
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Arrear_Pension_Calculator
Simple app for calculating arrear pension amount of a given period.
A simple Arrear Pension Calculator app written in python with GUI specifically Govt. employees (Central & State). This application calculates arrear (Due - Drawn) / overdrawn / recovery of pension between any given periods. This app is not associated with the Govt. This app is for informational purpose only. This project is open source under GNU public license v3.0 -
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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. ... -
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OSTIS - Open Semantic Technology for Intelligent Systems. This is an open project focused on mass semantic technology creation used in component-based design of various intelligent systems.
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Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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AnkiQT Lite (also known as Anki QPE) is a port of ankiqt (the GUI component of Anki) to the QT Palmtop Environment. It allows Anki to be run on a lower spec device, such as a PDA.
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